150
States, 1992. Gen. Tech. Rep. RM-234. Fort Collins,
co: U.S. Dept. Agric., For. Serv., Rocky Mt. For.
Range Exp. Sta.
Pozo, D.; 0lmo, F. J.; Alados-Arboledas, L. 1997. Fire
detection and growth monitoring using a multitemporal technique on A VHRR mid-infrared and thermal
channels. Remote Sens. Environ. 60(2):11-120.
Ramsey, R. D.; Falconer, A.; Jensen, J. R. 1995. The relationship between NOAA-AVHRR NDVI and ecoregions in Utah. Remote Sens. Environ. 53(3):188-198.
Rosenfeld, C. L.; Thatcher, T. 1994. On the move: GPS
monitors Alaska's Surging Bering Glacier. GPS World
5(11): 18-24.
Slaymaker, D. M.; Jones, K. M. L.; Griffin, C. R.; Finn,
J. T. 1996. Mapping deciduous forests in southern
New England using aerial videography and hyperclustered multi-temporal Landsat TM imagery. In:
Scott, J. M.; Tear, T. H.; Davis, F. W., eds. Gap analysis: a landscape approach to biodiversity planning.
Bethesda, MD: Amer. Soc. Photogramm. Remote
Sensing: 87-101.
Stehman, S. V.; Czaplewski, R. L. 1998. Design and
analysis for thematic map accuracy assessment: fundamental principles. Remote Sens. Environ. 64(3):
331-344.
Stoms, D.; Davis, F.; Cogan, C.; Cassidy, K. 1994. Assessing land cover map accuracy for GAP analysis
[on line]. Available: (http://www.gap.uidaho.edu/gap/
PublicationslPublications.htm).
Thomas, J. W. 1999. Guiding principles and workshop
overviews. In: Sexton, W.T.; Szaro, R.C.; Johnson, N.;
Malk, A.J., eds. Ecological Stewardship: A Common
Reference for Ecosystem Management. Oxford, UK:
Elsevier Science.
USDA Forest Service. 1995. Burned area emergency rehabilitation handbook. GPO FSH 2509.13. Washington DC: Govt. Print. Off.
USDA Forest Service Regional Ecology Group. 1981.
Remote Sensing Applied to Ecosystem Management
CAL VEG: a classification of California vegetation.
San Francisco: U.S. Dept. Agric., For. Serv., Region
Five.
USDA Forest Service Remote Sensing Advisory Team.
1998. Implementation of remote sensing for ecosystem
management. Salt Lake City, UT: U.S. Dept. Agric.,
For. Serv., Remote Sensing Applications Center.
Varner, V.; Lachowski, H.; Lake, L.; Anderson, B. 1998.
Mapping and monitoring noxious weeds using remote
sensing. In: Greer, J. D., ed. Proceedings of the seventh biennial Forest Service conference on remote
sensing. Nassau Bay, TX: Amer. Soc. Photogramm.
Remote Sensing: 182-193.
Viedma, D.; Melia, J.; Segarra, D.; Garcia-Haro, J. 1997.
Modeling rates of ecosystem recovery after fire using
Landsat TM data. Remote Sens. Environ. 61(3):
383-398.
Wirth, T.; Maus, P.; Lachowski, H.; Taylor, 1.; Linquist,
E. 1994. Investigative report on digital orthophoto quadrangles using data from the Superior National Forest.
Internal report. Salt Lake City, UT: U.S. Dept. Agric.,
For. Serv., Remote Sensing Applications Center.
Woodcock, C. E.; Strahler, A. H. 1987. The factor of
scale in remote sensing. Remote Sens. Environ. 21:
311-332.
Woodcock, C. E.; Collins, J. B.; Gopal, S.; Jakabhazy,
V. D.; Li, X.; Macomber, S.; Ryherd, S.; Harward,
V. J.; Levitan, 1.; Wu, Y.; Warbington, R. 1994. Mapping forest vegetation using Landsat TM imagery and
a canopy reflectance model. Remote Sens. Environ. 50:
240-254.
Zhu, Z. 1994. Forest density mapping in the lower 48
states: a regression procedure. Research Paper SO280. New Orleans: U.S. Dept. Agric., For. Serv.,
Southern For. Exp. Sta.
Zhu, Z.; Evans, D. L. 1994. U.S. forest types and predicted percent forest cover from A VHRR data. Photogramm. Eng. Remote Sensing 60(5):525-531.
States, 1992. Gen. Tech. Rep. RM-234. Fort Collins,
co: U.S. Dept. Agric., For. Serv., Rocky Mt. For.
Range Exp. Sta.
Pozo, D.; 0lmo, F. J.; Alados-Arboledas, L. 1997. Fire
detection and growth monitoring using a multitemporal technique on A VHRR mid-infrared and thermal
channels. Remote Sens. Environ. 60(2):11-120.
Ramsey, R. D.; Falconer, A.; Jensen, J. R. 1995. The relationship between NOAA-AVHRR NDVI and ecoregions in Utah. Remote Sens. Environ. 53(3):188-198.
Rosenfeld, C. L.; Thatcher, T. 1994. On the move: GPS
monitors Alaska's Surging Bering Glacier. GPS World
5(11): 18-24.
Slaymaker, D. M.; Jones, K. M. L.; Griffin, C. R.; Finn,
J. T. 1996. Mapping deciduous forests in southern
New England using aerial videography and hyperclustered multi-temporal Landsat TM imagery. In:
Scott, J. M.; Tear, T. H.; Davis, F. W., eds. Gap analysis: a landscape approach to biodiversity planning.
Bethesda, MD: Amer. Soc. Photogramm. Remote
Sensing: 87-101.
Stehman, S. V.; Czaplewski, R. L. 1998. Design and
analysis for thematic map accuracy assessment: fundamental principles. Remote Sens. Environ. 64(3):
331-344.
Stoms, D.; Davis, F.; Cogan, C.; Cassidy, K. 1994. Assessing land cover map accuracy for GAP analysis
[on line]. Available: (http://www.gap.uidaho.edu/gap/
PublicationslPublications.htm).
Thomas, J. W. 1999. Guiding principles and workshop
overviews. In: Sexton, W.T.; Szaro, R.C.; Johnson, N.;
Malk, A.J., eds. Ecological Stewardship: A Common
Reference for Ecosystem Management. Oxford, UK:
Elsevier Science.
USDA Forest Service. 1995. Burned area emergency rehabilitation handbook. GPO FSH 2509.13. Washington DC: Govt. Print. Off.
USDA Forest Service Regional Ecology Group. 1981.
Remote Sensing Applied to Ecosystem Management
CAL VEG: a classification of California vegetation.
San Francisco: U.S. Dept. Agric., For. Serv., Region
Five.
USDA Forest Service Remote Sensing Advisory Team.
1998. Implementation of remote sensing for ecosystem
management. Salt Lake City, UT: U.S. Dept. Agric.,
For. Serv., Remote Sensing Applications Center.
Varner, V.; Lachowski, H.; Lake, L.; Anderson, B. 1998.
Mapping and monitoring noxious weeds using remote
sensing. In: Greer, J. D., ed. Proceedings of the seventh biennial Forest Service conference on remote
sensing. Nassau Bay, TX: Amer. Soc. Photogramm.
Remote Sensing: 182-193.
Viedma, D.; Melia, J.; Segarra, D.; Garcia-Haro, J. 1997.
Modeling rates of ecosystem recovery after fire using
Landsat TM data. Remote Sens. Environ. 61(3):
383-398.
Wirth, T.; Maus, P.; Lachowski, H.; Taylor, 1.; Linquist,
E. 1994. Investigative report on digital orthophoto quadrangles using data from the Superior National Forest.
Internal report. Salt Lake City, UT: U.S. Dept. Agric.,
For. Serv., Remote Sensing Applications Center.
Woodcock, C. E.; Strahler, A. H. 1987. The factor of
scale in remote sensing. Remote Sens. Environ. 21:
311-332.
Woodcock, C. E.; Collins, J. B.; Gopal, S.; Jakabhazy,
V. D.; Li, X.; Macomber, S.; Ryherd, S.; Harward,
V. J.; Levitan, 1.; Wu, Y.; Warbington, R. 1994. Mapping forest vegetation using Landsat TM imagery and
a canopy reflectance model. Remote Sens. Environ. 50:
240-254.
Zhu, Z. 1994. Forest density mapping in the lower 48
states: a regression procedure. Research Paper SO280. New Orleans: U.S. Dept. Agric., For. Serv.,
Southern For. Exp. Sta.
Zhu, Z.; Evans, D. L. 1994. U.S. forest types and predicted percent forest cover from A VHRR data. Photogramm. Eng. Remote Sensing 60(5):525-531.